Defining and applying the appropriate tone of voice (formal, friendly, or playful) in alignment with the digital product context.
Defining and applying the appropriate tone of voice (formal, friendly, or playful) in alignment with the digital product context.
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Advanced Linguistic Challenges
Addressing gendered language challenges by applying linguistically neutral formulations within user interfaces.
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Analysis & Practical Application
Analyzing real Arabic app microcopy, evaluating its effectiveness, and rewriting it to improve clarity, usability, and user experience.
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Conversion-First Thinking & Page Structure
Understanding user intent and context. - Understanding user intent and context.
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Conversion-Focused Headlines & Hooks
Writing headlines that address real user needs. - Aligning headlines with traffic sources and user stages.
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Writing High-Converting Copy
Message clarity and scannability. - Building a logical flow that leads users to action.
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Social Proof & Credibility
Turning features into compelling benefits. - Using testimonials, metrics, and trust elements effectively.
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Personalization & Multiple Copy Variants
Adapting messages based on audience and use case. - Creating copy variations for testing and optimization.
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Introduction to Data Analysis and Its Role in Business
What data is and what data analysis means in simple business terms. - How organizations use data to support decisions. - The role of data analysis in performance improvement.
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Introduction to Power BI and Its Business Use
What Power BI is and where it is commonly used. - Overview of the Power BI ecosystem (Desktop & Service).
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Getting Data into Power BI
Importing data from Excel and CSV files. - Understanding tables and fields within Power BI. - Data types (text, numeric, date). - Previewing and reviewing data before analysis.
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Data Structure Fundamentals
Rows, columns, and tables. - Best practices for organizing data correctly.
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Data Cleaning Using Power Query
What Power Query is and why it matters. - Removing blank rows and duplicates. - Correcting data types and formats. - Renaming and organizing columns, applying filters and sorting. - Preparing clean, analysis-ready datasets.
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Basic Data Modelling and Relationships
What a data model is (simplified explanation). - Creating basic relationships between tables. - Understanding how relationships affect analysis results.
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Introduction to DAX and Basic Calculations
What DAX is and why it is used. - Difference between calculated columns and measures. - Creating basic calculations such as: Total Sales & Record Count - Understanding how filters impact calculations.
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